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Update README.md

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@@ -84,8 +84,12 @@ This dataset only includes data.gouv.fr datasets that have at least a 1000 carac
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  ### ✂️ 2. Text Chunking
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- The `chunk_text` field was created by combining the `title`, `organization` name, `description`. The `description` was croped to a maximum length of +- 1000 caracters.
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- The Langchain's `RecursiveCharacterTextSplitter` function was used to make these chunks. The parameters used are :
 
 
 
 
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  - `chunk_size` = 1000 (in order to limit as much noise as possible)
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  - `chunk_overlap` = 20
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  - `length_function` = len
 
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  ### ✂️ 2. Text Chunking
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+ The `chunk_text` field was created by combining the `title`, `organization` name, `description`.
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+
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+ The `description` was croped to a maximum length of +- 1000 caracters.
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+ The Langchain's `RecursiveCharacterTextSplitter` function was used to crop the description.
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+
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+ The parameters used are :
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  - `chunk_size` = 1000 (in order to limit as much noise as possible)
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  - `chunk_overlap` = 20
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  - `length_function` = len